O uso de redes neurais auto-organizÃveis na anÃlise da transferÃncia de conhecimentos prosÃdico em aprendizes brasileirios de lÃngua inglesa / The use of self-organizing artificial neural networks for the analysis of prosodic knowledge in Brazilian learner of English

AUTOR(ES)
FONTE

IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia

DATA DE PUBLICAÇÃO

08/10/2010

RESUMO

The objective of this dissertation was to investigate how the prosodic knowledge is organized in an early stage of L2 acquisition in Brazilian learners of English with the help of a connectionist neural network. The approach proposed in this research is first, to quantify the utterances of L2 learners in the form of LPC coefficients and other linguistic/phonetics features that can represent the phenomenon studied here (Transfer of the prosodic knowledge from Portuguese to English). This process is called speech feature extraction, an important step in the connectionist approach to speech processing. Second, since certain features of the lexical item or sentence produced by each learner are determined, these data are entered into the neural network to analyze the statistical properties (regularities) of the set of speakers as a whole. Third, visualization tools are used to analyze how the network organizes speakers and what information is most relevant to this process of group formation (e.g. proficiency level, a certain characteristic or property of speech, among others). The network is known as Self-Organizing Map (Self-Organizing Map, SOM). The SOM organizes speakers for similarity degree in well-defined groups (clusters). Application of SOM in this context is therefore innovative. The SOM network is implemented in Matlab environment using the SOMtoolbox package, which is a set of programming routines developed by the research group in Finland, also the inventors of the SOM. The simulation results indicate that SOM might be used more frequently to assess the degree of distance that a group of learners is to the group of native speakers. Thus, a neural network might be used as a tool in the context of determining the level of foreign language proficiency.

ASSUNTO(S)

linguistica aplicada aquisiÃÃo de l2 mapas auto-organizÃveis anÃlise de agrupamentos anÃlise multi-rÃtulo l2 acquisition self-organizing maps cluster analysis multi-label analysis redes neurais(computaÃÃo) mapas auto-organizÃveis conexionismo kohonen,rede de proficiÃncia oral lÃngua inglesa - estudo e ensino - falantes de portuguÃs aquisiÃÃo da segunda lÃngua

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